Keith Scott W, Fontaine Kevin R, Allison David B
Division of Biostatistics, Department of Pharmacology and Experimental Therapeutics, Thomas Jefferson University, 1015 Chestnut St., Suite M100, Philadelphia, PA 19107, USA.
Mol Metab. 2013 Mar 25;2(2):65-8. doi: 10.1016/j.molmet.2013.03.005.
In this review, we discuss strengths and limitations of a recent rigorous systematic review and meta-analysis of the literature on associations of all-cause mortality with overweight and obesity. A perspective on its meaning and potential implications are provided. To move this field forward, we suggest modeling BMI as a continuous variable, switching to modeling longevity instead of mortality, and generating large publicly available datasets in broad and diverse populations for discerning the extent to which the BMI-mortality relationship differs between groups and over time. Randomized studies of obesity-related interventions that provide assessments of their actual effects on lifespan or mortality would have great value for helping to establish valid clinical and public health recommendations around weight loss and mortality.
在本综述中,我们讨论了近期一项关于全因死亡率与超重和肥胖关联的文献的严格系统综述和荟萃分析的优势与局限性。同时提供了对其意义和潜在影响的观点。为推动该领域发展,我们建议将体重指数(BMI)建模为连续变量,转而对寿命而非死亡率进行建模,并在广泛且多样的人群中生成大量可公开获取的数据集,以辨别BMI与死亡率之间的关系在不同群体以及随时间变化的差异程度。对肥胖相关干预措施进行随机研究,并评估其对寿命或死亡率的实际影响,这对于帮助制定有关减肥和死亡率的有效临床及公共卫生建议具有重要价值。